Discrimination of Annona muricata and Rollinia mucosa extracts by using multivariate curve resolution and partial least-squares regression of liquid chromatography-diode array data
Species of the Annonaceae family are used in traditional medicine, and several antitumor acetogenins have been isolated from the leaves of Annona muricata and Rollinia mucosa. Leaves samples (self-shaded and sun-exposed) of these species were collected during winter and summer seasons. Extraction...
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| Autores principales: | , , , , |
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| Lenguaje: | Inglés |
| Publicado: |
Brazilian Chemical Society
2019
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/2133/13920 http://hdl.handle.net/2133/13920 |
| Aporte de: |
| Sumario: | Species of the Annonaceae family are used in traditional medicine, and several antitumor
acetogenins have been isolated from the leaves of Annona muricata and Rollinia mucosa.
Leaves samples (self-shaded and sun-exposed) of these species were collected during winter
and summer seasons. Extraction media were prepared from mixtures of five solvents according
to a simplex centroid design. Plant extracts were analysed by injection into a high-performance
liquid chromatography with diode array detection (HPLC-DAD) and evaluated after applying by
multivariate curve resolution-alternating least-squares (MCR-ALS) and discriminant-unfolded
partial least-squares (D-UPLS). The objective was to check whether the chemometric resolution
of chromatographic profiles could help in the discrimination of samples according to taxonomic
classification, sun exposition and/or harvest season. The results indicate that extraction media
containing ethanol as main solvent achieved discrimination of self-shaded versus sun-exposed plants
and harvest season of Annona muricata. Also, D-UPLS analysis allowed taxonomic discrimination
between Annona muricata and Rollinia mucosa extract samples. |
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